Sort by
Refine Your Search
-
(link is external) ); Monocle 2 and 3 for unsupervised pseudotemporal trajectories inference: Qiu et al., Nature Methods, 2017a/b (https://doi.org/10.1038/nmeth.4150 (link is external) , https://doi.org
-
and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
-
. Expertise in computational neuroscience software (e.g., MATLAB, Python) as well as statistical methods and statistical packages (e.g. SAS, R). Experience with machine learning methods is preferred
-
The Stanford Abdominal Diffusion Group is seeking thoughtful, motivated and collaborative postdoctoral fellows to join a growing team developing motion-robust multi-shot DWI methods for liver, pancreatic, and
-
applications for a postdoctoral fellowship position to join a project investigating trafficking risks in charcoal supply chains in Brazil. The position is open to recent graduates of PhD programs in statistics
-
. Required Qualifications: Doctoral degree (PhD) conferred by start date Demonstrated experience with analysis of large health databases Training and experience in machine learning and deep learning methods
-
implementing novel strategies for an Adult Editing System, establishing robust Cas9/gRNA delivery methods for somatic cells in adult organisms. You will collaborate closely with a dynamic, multi-disciplinary
-
at scientific conferences. Required Qualifications: Education: Required: PhD or MD (or equivalent experience) in medical sciences, molecular biology, cell biology, or related field. Work Experience: Required
-
Posted on Sat, 11/09/2024 - 11:35 Important Info Faculty Sponsor (Last, First Name): Gardner, Christopher Other Mentor(s) if Applicable: Clarke, Shoa, MD, PhD; Follis, Shawna, PhD, MS; Henriksen
-
combinatorial panning methods, including phage and mRNA display, to identify de novo peptides for promising biomarkers lacking a natural ligand or lead structure. We then optimize peptide ligands for affinity and